Results 141 to 150 of about 24,447 (166)

sEMG-based technology for silent voice recognition

Computers in Biology and Medicine, 2023
Silent speech recognition (SSR) is a system that implements speech communication when a sound signal is not available using surface electromyography (sEMG)-based speech recognition. Researchers have used surface electrodes to record the electrically-activated potential of human articulation muscles to recognize speech content. SSR can be used for pilot-
Wei Li, Jianping Yuan, Lu Zhang, Jie Cui, Xiaodong Wang, Hua Li   +5 more
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Design of SEMG Recognition System

Advanced Materials Research, 2011
Surface electromyography (sEMG) is recorded from the surface of skeleton muscle by electrodes, it is the bioelectricity discharged by neuromuscular activities. This paper designed a data acquisition platform of sEMG, which contains hardware module and software module. The hardware contains electrodes, microcomputer, power and filters.
Jing Jin Xie, Lei Zuo
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Towards High Density sEMG (HD-sEMG) Acquisition Approach for Biometrics Applications

2019
This is the third chapter of this book dedicated to EMG biometrics modality. The purpose is to highlight a Multi-Channel technique based on a High Density sEMG (HD-sEMG) acquisition. In fact, HD-sEMG recording systems can be used to overcome the limitation of classical bipolar and monopolar sEMG recording systems.
Al Harrach, Mariam, Boudaoud, Sofiane, Nait-Ali, Amine   +2 more
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Speech recognition using facial sEMG

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2017
This paper presents a study of speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. This paper compares the speech recognition system for spoken English and Malay words by a group of Malay native speakers.
Mok Win Soon, Muhammad Ikmal Hanafi Anuar, Mohamad Hafizat Zainal Abidin, Ahmad Syukri Azaman, Norliza Mohd Noor   +4 more
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Analyzing an sEMG signal using wavelets

2009
Electromyography (EMG) is an experimental technique developed with the purpose of detecting muscle movement. The technique generates a signal that is formed by impulses of muscle fibers during the movement of muscles. The generated signal is very sensitive and can therefore be influenced by several external factors altering its shape and ...
Bastiaensen, Y., Schaeps, T., Baeyens, Jean-Pierre   +2 more
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Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study

Computers in Biology and Medicine, 2017
The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts.
Al Harrach, Mariam, Carriou, Vincent, Boudaoud, Sofiane, Laforet, Jeremy, Marin, Frédéric   +4 more
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sEMG pattern classification using hierarchical Bayesian model

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
This work addresses surface electromyogram (sEMG)-based muscle pattern classification using a generative model. By using a hierarchical Bayesian model, the proposed approach constructs an overall process model of recorded sEMG signals. By inferring probabilistically latent neural states which governs a collection of training sEMG data, classification ...
Hyonyoung, Han, Sungho, Jo
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sEMG-based lip shapes recognition

2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2019
With the development of intelligent technology, the need for more effective and practical human-computer interaction becomes more and more urgent. The objective of this paper is to use the facial surface electromyography (sEMG) for lip shapes recognition.
Mingfeng Tang, Jianhai Zhang, Li Zhu
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Surface EMG (SEMG): A Synopsis

Biofeedback, 2019
Surface electromyography is an electrophysiological modality assessing the electrical activity of skeletal musculature. The Sella protocol is a structured assessment protocol, including static muscle assessment and dynamic muscle assessment, utilizing standardized electrode placements, conditions, and movements during assessment.
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Frame-Based SEMG-to-Speech Conversion

2006 49th IEEE International Midwest Symposium on Circuits and Systems, 2006
This paper presents a methodology that uses surface electromyogram (SEMG) signals recorded from the cheek and chin to synthesize speech. A neural network is trained to map the SEMG features (short-time Fourier transform coefficients) into vector-quantized codebook indices of speech features (linear prediction coefficients, pitch, and energy).
Yuet-Ming Lam, Philip Heng-Wai Leong, Man-Wai Mak   +2 more
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